Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

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Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

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CIO Business Intelligence

APRIL 24, 2025

This includes benchmark data for comparison to peers to help drive actionable change, competitive intelligence thats specific, predictive analytics to help drive fact-based decisions, and AI-driven insights that pull from multiple sources of data that are typically siloed.

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Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

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datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. connecting data sources and predicting future outcomes.

Data Science 214

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Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

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CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence?

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Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

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Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It’s simple!

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CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

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CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. We already have excellent tools for these tasks. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. SQL can crunch numbers and identify top-selling products.

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Smarten

NOVEMBER 4, 2024

Knowledgebase Articles Access Rights, Roles and Permissions : AD Integration in Smarten Data Sources : Database Data Sources : Improving performance for fetching data from the database GeoMap : Importing areas and their Lat / Long Predictive Use cases Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive (..)

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Smarten

MARCH 13, 2018

Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff?

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Smarten

MAY 2, 2018

Can Plug & Play Predictive Analytics Help Business Users Function Effectively? Plug & Play Predictive Analytics is not an exotic process that is limited to data scientists or IT staff. Plug & play predictive analysis is so named because it really is a plug and play process.

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DataRobot

JANUARY 20, 2022

— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. . Grasping the digital opportunity.

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Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

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Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

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CIO Business Intelligence

JANUARY 19, 2024

Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

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CIO Business Intelligence

JUNE 14, 2023

Microsoft Certified Azure Data Scientist Associate The Microsoft Certified Azure Data Scientist Associate credential is a measure of a candidate’s ability to define and prepare Azure development environments, prepare data for modeling, perform feature engineering, and develop models. The credential does not expire.

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Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

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Smarten

JUNE 22, 2022

So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence? The benefits of Embedded BI and Augmented Analytics are numerous. Benefits of Embedded BI. Here are a few for your to consider: Improve overall organizational value.

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CIO Business Intelligence

SEPTEMBER 2, 2022

While the company is leading technology development for the markets it serves, working behind the scenes is the company’s IT organization, which is charged with delivering digital solutions and useful business intelligence on market conditions, competition, supply chain, and customers. How extensive is your data-driven strategy today?

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CIO Business Intelligence

SEPTEMBER 2, 2022

While the company is leading technology development for the markets it serves, working behind the scenes is the company’s IT organization, which is charged with delivering digital solutions and useful business intelligence on market conditions, competition, supply chain, and customers. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Original Post : Smarten Augmented Analytics Now Available on Mobile App! Installation is easy.

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Smarten

OCTOBER 31, 2022

If your business can leverage traditional business intelligence tools AND advanced augmented analytics, it can provide the features and tools its users need without being forced to choose and without forcing its team to use a solution that is not ideal for their role or their needs.

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CIO Business Intelligence

OCTOBER 4, 2022

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data.

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IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. For example, if a customer undergoes a major business change such as an acquisition, predictive models trained on previous transactions can analyze the potential need for new products.

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CIO Business Intelligence

SEPTEMBER 5, 2023

By embracing machine learning and predictive analytics from SAP, it has been able to build predictive models for abnormal events based on sensor data and feed them into user-friendly dashboards and e-mail notifications.

Technology 105

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Smarten

JANUARY 27, 2023

How Can I Encourage Data Democratization with BI and Augmented Analytics Tools? What is business intelligence democratization? Put simply, BI democratization is the open access to business intelligence and analytical tools to enable analysis and understanding of the data within the enterprise systems.

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Smarten

JUNE 17, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smarten

MAY 28, 2024

Knowledgebase Articles General : Global Variable : Calculating Profit/Loss Variance based on What-if Analysis Embedded / API Integration : API Call to rebuild cubes / datasets Installation : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling : Classification : Customer Churn model using Smarten (..)

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Smarten

SEPTEMBER 30, 2024

Knowledgebase Articles Datasets & Cubes : Spark Sql : Split the dataset columns using Regex Dashboards Improve dashboard loading performance for dashboards with multiple objects Integration API : API Call to rebuild cubes / datasets Predictive Use cases Assisted predictive modelling : Classification : Machine Maintenance Using Smarten Assisted (..)

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Smarten

SEPTEMBER 6, 2024

Knowledgebase Articles Datasets & Cubes : Blend Append : Merge monthly plan data with actual daily sales data and create plan vs actual data Access Rights, Roles & Permissions : Password patterns and configurations in Smarten Dashboards : Dashboard Creation Best Practices Predictive Use cases Assisted predictive modelling : Classification : (..)

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FineReport

JUNE 7, 2024

Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart. Boasting a user-centric approach, Alteryx’s key features include drag-and-drop functionalities and predictive modeling capabilities.

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Visualization Predictive Analytics Dashboards Predictive Modeling 52

Smarten

APRIL 12, 2023

About Smarten The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

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Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 76

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